Data visualization, the visual representation of data, is more scientific than artistic in our modern world. The main goal of data visualization is effectively, efficiently, elegantly, accurately as well as meaningfully communicating information. It fulfills its objectives only if it encodes the given input in such a manner that our eyes can recognize and our brain can comprehend.
It satisfied us in all sphere from the corporate world to the field of science. This unique combination of art and science arouses our curiosity and drags us to an infinite amount of interest, indulging us to seek graphical representation of data.
The artistic representation of data changes as it passes through a number of phases, and over the time, its objective also changes with the up gradation of analysis and presentation. Historical examples will show that, many data visualization was incomplete which failed to serve the purpose. But as time passed, the perception on data visualization changed while making a multipurpose decision. It’s changeable nature frequently satisfied various optimizations with proper reasoning. For comprehension, it became a necessity to look deeply at the base of the work that highlights the creator’s main goal and ideas. Our ability is limited without a goal, and we will not be able to satisfy our customer related to different fields. So as a designer it is our challenge to be able to combine data, extract and transfer information in a single unit to the decision-makers in a sensible and useful form.
One of the main goals of data visualization is to give support in making decision through appropriately designed graphically represented information. Sophistically-designed data visualization systems can greatly assist users with proper reasoning and decision making. Usually, visually presented data is easier to understand.
A visually formatted information allows the user to swiftly perceive patterns or features that may not have been discovered previously.
With rapid evolution, the goal of data visualization has moved from simple charts and graphs to strong visually appealing dashboards that everybody wants. However, most of the time it fails to reach its ultimate goal due to its lack of communication which gets lost in unnecessary detail.
To achieve the goal of data visualization, an organization should properly and efficiently implement a dashboard so as to facilitate instant understanding. This would enhance the capability of working faster and smarter.
As an expert I would suggest that you take care of those visual representation techniques that may have left a negative impact in the past. The process of reaching the goal of data visualization is in progress and is improving each day. The key to a success is delivering relevant data related to sales, customer satisfaction, employee performance assessments, inventory levels, network performance, and accurate web sites presented at the right time.